With smartphones now more prevalent in everyday life than ever before, understanding their use and its implications becomes increasingly necessary. While self-reporting in surveys is the method typically used to assess smartphone use, it is affected by various problems such as distorted retrospection, social desirability bias, and high aggregation. More […]

On September 3 2024, Tobias Dienlin from the University of Vienna held the workshop Open Research – Principles, Practices, and Implementation at WI. In this workshop, he gave an overview of Open Research and its motivations, relevance, and formal and technical implementation. In the first part of the workshop, Tobias […]

We’re excited to announce our upcoming workshop Open Research – Principles, Practices, and Implementation, which will take place on Tuesday, September 3. This workshop will be conducted both at the Weizenbaum Institute and online, and is open to Weizenbaum Institute members as well as external participants (and the QPD). Led […]

AI systems rely heavily on workers who face precarious conditions. Data work, clickwork, and crowdwork—essential for validating algorithms and creating datasets to train and refine AI systems—are frequently outsourced by commercial entities and academic institutions. Despite the vast and growing workforce of 435 million data workers enabling machine learning, their […]